Lead Software Engineer - GLCM Postings

JPMorgan Chase & Co.; Bournemouth; On-site; GBP 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Bournemouth is seeking a Lead Software Engineer to drive architecture and delivery of mission-critical services.

You will mentor engineers, shape technical strategy, and develop backend systems using Java, Kubernetes, and MongoDB, with a focus on reliability, scalability, and secure design. This role emphasizes AI-assisted development and enterprise-grade APIs in a multi-region setup, with strong leadership in cloud platforms (AWS/Azure/GCP) and API design.

Qualifications

• Formal training or certification in Software Engineering concepts and applied experience.
• Extensive experience in Java and object-oriented programming.
• Proven leadership in Kubernetes and cloud-native application development.
• Deep expertise in MongoDB, including change streams and schema design.
• Strong background in RESTful and gRPC API design and implementation.
• Demonstrated experience with API best practices and service registry concepts.
• Track record of designing highly resilient, share-nothing, multi-region architectures.
• Ability to architect and promote custom frameworks and reusable components.
• Experience leading Agile, self-managing teams.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs.

Responsibilities

• Own the technical strategy and architecture for mission-critical applications, ensuring alignment with business goals and industry best practices.
• Lead and mentor a team of software engineers, providing guidance, support, and professional development opportunities.
• Drive the design and implementation of high-performance backend services using Java and cloud-native technologies.
• Champion the development of highly resilient, share-nothing, multi-region architectures to achieve fault tolerance, high availability, and disaster recovery.
• Drive the adoption and optimization of MongoDB (including change streams), Kubernetes, and other modern platforms.
• Set and enforce standards for API design and development (REST/gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfaces.
• Guide the integration and management of service registries for dynamic service discovery and orchestration in micro services environments.
• Promote the creation of custom frameworks and reusable components to accelerate development and maintain consistency.
• Manage project delivery, ensuring timelines, quality, and stakeholder satisfaction while identifying and mitigating technical risks.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
• Applies knowledge of tools within the SDLC toolchain to improve value realized by automation.

Skills

Java

Kubernetes

MongoDB

REST/gRPC

Cloud-native design

Leadership

Agile

Education

Bachelor's degree

Master's degree

Tools

AWS

CI/CD

DevOps

React

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments technology team; you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Own the technical strategy and architecture for mission-critical applications, ensuring alignment with business goals and industry best practices
• Lead and mentor a team of software engineers, providing guidance, support, and professional development opportunities
• Drive the design and implementation of high-performance backend services using Java and cloud-native technologies
• Champion the development of highly resilient, share-nothing, multi-region architectures to achieve fault tolerance, high availability, and disaster recovery
• Drive the adoption and optimization of MongoDB (including change streams), Kubernetes, and other modern platforms
• Set and enforce standards for API design and development (REST/gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfaces
• Guide the integration and management of service registries for dynamic service discovery and orchestration in micro services environments
• Promote the creation of custom frameworks and reusable components to accelerate development and maintain consistency
• Manage project delivery, ensuring timelines, quality, and stakeholder satisfaction while identifying and mitigating technical risks
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and applied experience
• Extensive experience in Java and object-oriented programming
• Proven leadership in Kubernetes and cloud-native application development
• Deep expertise in MongoDB, including change streams and schema design
• Strong background in RESTful and gRPC API design and implementation
• Demonstrated experience with API best practices and service registry concepts
• Track record of designing highly resilient, share-nothing, multi-region architectures
• Ability to architect and promote custom frameworks and reusable components
• Experience leading Agile, self-managing teams
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proven experience in senior leadership or engineering management roles
• Hands-on expertise with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and DevOps practices
• UI development experience with modern frameworks such as React, Angular, or similar